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Python codes for each chapter in the book "Artificial Intelligence Transcending Traditional Paradigms" published by Springer.

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3 Commits
AI_agentic_design_patterns.py
AI_agentic_design_patterns.py
 
 
ActorCritic.py
ActorCritic.py
 
 
AdaBoost.py
AdaBoost.py
 
 
Best_first_search.py
Best_first_search.py
 
 
DQNAgent.py
DQNAgent.py
 
 
DecisionTree.py
DecisionTree.py
 
 
DirectedGraph.py
DirectedGraph.py
 
 
EmbodiedAgent_CognitiveAgent .py
EmbodiedAgent_CognitiveAgent .py
 
 
GaussianMixture_probabilistic_clustering.py
GaussianMixture_probabilistic_clustering.py
 
 
HopfieldNetwork.py
HopfieldNetwork.py
 
 
KMeans.py
KMeans.py
 
 
KNeighbors.py
KNeighbors.py
 
 
KohonenSOM.py
KohonenSOM.py
 
 
LICENSE
LICENSE
 
 
LLM-based_Intelligent_AI_Agent.py
LLM-based_Intelligent_AI_Agent.py
 
 
LinearRegression.py
LinearRegression.py
 
 
Model_Predictive_Control.py
Model_Predictive_Control.py
 
 
Perceptron.py
Perceptron.py
 
 
QA_system_using_knowledge_graph_LLM.py
QA_system_using_knowledge_graph_LLM.py
 
 
README.md
README.md
 
 
REINFORCEAgent.py
REINFORCEAgent.py
 
 
RLHF_simulation .py
RLHF_simulation .py
 
 
RandomForestClassifier.py
RandomForestClassifier.py
 
 
SOAR.py
SOAR.py
 
 
SimpleAgent.py
SimpleAgent.py
 
 
SimpleNeuralNetwork.py
SimpleNeuralNetwork.py
 
 
a_star_search.py
a_star_search.py
 
 
active_learning.py
active_learning.py
 
 
agentic_AI_integration_into_SEO.py
agentic_AI_integration_into_SEO.py
 
 
alpha_beta.py
alpha_beta.py
 
 
attention_mechanism_using_BahdanauAttention.py
attention_mechanism_using_BahdanauAttention.py
 
 
autoencoder.py
autoencoder.py
 
 
bayes_theorem.py
bayes_theorem.py
 
 
breadth_first_search.py
breadth_first_search.py
 
 
cluster.py
cluster.py
 
 
cognitiveAI_with_adaptive_memory.py
cognitiveAI_with_adaptive_memory.py
 
 
commonsense_inference_neuro_symbolic.py
commonsense_inference_neuro_symbolic.py
 
 
depth_first_search.py
depth_first_search.py
 
 
depth_limited_search.py
depth_limited_search.py
 
 
gover_algorithm_quantum_search_simulation.py
gover_algorithm_quantum_search_simulation.py
 
 
greedy_best_first_search.py
greedy_best_first_search.py
 
 
hidden_markov_model.py
hidden_markov_model.py
 
 
hill_climbing.py
hill_climbing.py
 
 
iterative_deepening_search.py
iterative_deepening_search.py
 
 
long_short-term_memory.py
long_short-term_memory.py
 
 
minimax.py
minimax.py
 
 
missForest .py
missForest .py
 
 
monte_carlo_tree_search.py
monte_carlo_tree_search.py
 
 
neuro_symbolic.py
neuro_symbolic.py
 
 
neuro_symbolic_agent_for_virtual_environment.py
neuro_symbolic_agent_for_virtual_environment.py
 
 
personalized_healthcare_using_ContinualLearning.py
personalized_healthcare_using_ContinualLearning.py
 
 
simple_CNN_for_image_classification.py
simple_CNN_for_image_classification.py
 
 
simple_fuzzy_inference_system.py
simple_fuzzy_inference_system.py
 
 
simple_genetic_algorithm.py
simple_genetic_algorithm.py
 
 
simulated_annealing.py
simulated_annealing.py
 
 
sklearn.naive_bayes
sklearn.naive_bayes
 
 
sklearn.py
sklearn.py
 
 
svm.py
svm.py
 
 
transformer_model_using_PyTorch.py
transformer_model_using_PyTorch.py
 
 
uniform_cost_search.py
uniform_cost_search.py
 
 
vanilla_RNN_for_sequence_classification.py
vanilla_RNN_for_sequence_classification.py
 
 

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Python-code

Python codes for various algorithms discussed in the book "Artificial Intelligence Transcending Traditional Paradigms" published by Springer.

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Python codes for each chapter in the book "Artificial Intelligence Transcending Traditional Paradigms" published by Springer.

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